51 citations · 51 across the 2 of their papers we have counts for
6 papers
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications
Raquel Lazcano, Daniel Madroñal, Giordana Florimbi +12
Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of informatio…
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons
E. Martel, R. Lazcano, J. Lopez +7
Dimensionality reduction represents a critical preprocessing step in order to increase the efficiency and the performance of many hyperspectral imaging algorithms. However, dimensi…
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
H. Fabelo, S. Ortega, A. Szolna +25
The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral alg…
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
H. Fabelo, S. Ortega, D. Ravi +19
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the n…
Virtual Triggering: a Technique to Segment Cryptographic Processes in Side Channel Traces
Jeremy Guillaume, Maxime Pelcat, Amor Nafkha +1
Side-Channel Attacks (SCAs) exploit data correla-tion in signals leaked from devices to jeopardize confidentiality. Locating and synchronizing segments of interest in traces from C…
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
Maria Méndez Real, Rubén Salvador
During the last decade, Deep Neural Networks (DNN) have progressively been integrated on all types of platforms, from data centers to embedded systems including low-power processor…